仓库/Skill 库

基于 Zotero 文献库的每日 arXiv 论文推荐。Daily arXiv paper recommendations based on Zotero library

FinHop 是专为机构股票分析打造的多跳金融研究助手。它摄取 SEC 文件（10-K、10-Q），将其建模为时序感知、按公司组织的检索图，并回答需要跨多份文档、多家公司与多个财周期证据的对比与趋势类研究问题。FinHop is a multi-hop financial research assistant purpose-built for institutional equity analysis. It ingests SEC filings — 10-Ks, 10-Qs ,models them as a time-aware, company-aware retrieval graph, and answers comparative and trend-based research questions that require evidence from across multiple documents, companies, and fiscal periods.

检索 EndNote XML 元数据，保守地匹配本地 PDF，并以可追溯的证据回答研究问题。Search EndNote XML metadata, conservatively match local PDFs, and answer research questions with traceable evidence.

开发一个研究论文推荐系统，分析关键词、摘要、引用与用户兴趣以推荐相关论文。该系统使用图算法、相似度排序和优化技术，为研究者和学生提供个性化建议。Here's a version with **exactly 300 characters**: > Develop a research paper recommendation system that analyzes keywords, abstracts, citations, and user interests to recommend relevant papers. It uses graph algorithms, similarity ranking, and optimization techniques to deliver personalized suggestions for researchers and students.

系统综述与 Meta 分析的检索、提取与分析代码，主题为基于可穿戴设备生命体征的被动认证。Retrieval, Extraction and Analysis Code for a Systematic Review and Meta-Analysis on Passive Authentication using Vital Signs Collected Via Wearable Devices

Claude Code 插件：从 arXiv、Semantic Scholar 与 OpenAlex 拉取指定主题的近期真实论文，并以独立的交互式 HTML 阅读器交付，支持 Markdown / JSON / BibTeX / RIS 导出。Claude Code plugin: fetch real recent papers on a topic from arXiv, Semantic Scholar and OpenAlex, and deliver them as a self-contained interactive HTML reader with Markdown / JSON / BibTeX / RIS export.

📚 用于采集开放获取学术期刊的 Python CLI（OpenAlex + Semantic Scholar + Crossref + Unpaywall）— 导出 Obsidian Markdown、CSV 并自动下载 PDF。为毕业论文文献综述而构建。📚 CLI Python untuk mengumpulkan jurnal akademik open-access (OpenAlex + Semantic Scholar + Crossref + Unpaywall) — export Markdown Obsidian, CSV, dan download PDF otomatis. Dibuat untuk literature review skripsi.

基于本地 RAG 的 AI 研究助手，用于分析学术论文、总结研究发现、对比研究，并以页级引用回答研究问题。构建于 Python、Streamlit、Chroma、Sentence Transformers、Ollama 和 Llama 3。An AI research assistant using local RAG to analyze academic papers, summarize research findings, compare studies, and answer research questions with page-level citations. Built with Python, Streamlit, Chroma, Sentence Transformers, Ollama, and Llama 3.

一款本地化、隐私优先的 LLM 助手，提供学术写作辅助、音频转写、文档检索与数据分析。A local, privacy-first LLM assistant that performs academic writing assistance, audio transcription, document retrieval, and data analysis.

基于你的 Zotero library 的个人论文推荐器。Personal paper recommender based on your Zotero library

证据优先的科研桌面工具，支持论文发现、PDF 证据抽取、论点分析、对比与文献综述综合Evidence-first research desk for paper discovery, PDF evidence extraction, claim analysis, comparison, and literature review synthesis.

在 Overleaf 中直接启用 AI 驱动的引用检索与论文审阅，提升写作与引用效率。Enable AI-driven citation search and paper review directly within Overleaf to improve referencing and writing efficiency.

LLM 的知识截止会使文献综述过时或不完整；RAG 与时序感知检索可提升时效性，但无法完全解决引用、来源选择与时间推理问题。LLM knowledge cutoffs can make literature reviews outdated or incomplete, while RAG and time-aware retrieval can improve freshness but do not fully solve citation, source-selection, and temporal reasoning problems.

集成 RAG、知识图谱、语义搜索、论文推荐与本地 LLMs 的 AI 研究助手AI Research Assistant with RAG, knowledge graphs, semantic search, paper recommendations, and local LLMs.

确定性研究亲和度匹配、文献空白发现（Ω 指数）、跨学科共同作者雷达，以及不产生生成式幻觉的逐字引文证据审计。Deterministic research affinity matching, literature white-space discovery (Ω index), cross-disciplinary co-author radar, and verbatim citation evidence auditing without generative hallucinations.

面向多源检索、证据抽取与带引用研究摘要的自主 AI 研究助手。Autonomous AI research assistant for multi-source retrieval, evidence extraction, and cited research summaries.

AI 系统AI System

基于 NLP 与语义嵌入（SciBERT/SPECTER）的 AI 论文推荐系统。用户输入论文或关键词，即可获得排序后的上下文相关推荐，解决关键词检索造成的信息过载，加速学术文献发现。An AI-powered system that recommends relevant research papers using NLP and semantic embeddings (SciBERT/SPECTER). Users input a paper or keywords and receive ranked, context-aware suggestions—solving information overload from keyword-based search and speeding up academic literature discovery.

ResearchIQ Copilot 是一款 AI 驱动的学术研究助手，允许用户与研究论文对话、生成文献综述、识别研究空白、对比方法论、发现经核验的同行评审研究，并将研究成果导出为 PDF 报告ResearchIQ Copilot is an AI-powered academic research assistant that allows users to chat with research papers, generate literature reviews, identify research gaps, compare methodologies, discover verified peer-reviewed studies, and export research outputs as PDF reports.

面向英语专业本科生的一站式学术研究与论文写作工作流：文献精读、Source Map、Research Gap、语言学 APA 与文学 MLA。An end-to-end research and academic writing workflow for English majors.

基于 Semantic Scholar 与 Crossref 的安全加固、双模式学术搜索工作台。A security-hardened, dual-mode scholarly search workbench powered by Semantic Scholar and Crossref.

用于人工审阅 evidence-backed WAKG 文献抽取结果的临时公开预览。Temporary public preview for human review of evidence-backed WAKG literature extraction.

开源、原生支持 Claude 的文献综述工作流工具：支持 arXiv/DOI/URL/PDF 论文导入、章节抽取，并通过 paper-qa 实现单篇论文问答Open-source, Claude-native literature-review workflow tool: arXiv/DOI/URL/PDF paper ingest, section extraction, single-paper Q&A via paper-qa.

本项目根据用户检索与数据集中已有论文进行论文推荐This project recommends paper based upon your search and available papers inside the dataset

智能研究论文推荐系统，聚合 ArXiv 与 Semantic Scholar 内容，简化学术发现流程。An intelligent research paper recommender system aggregating content from ArXiv and Semantic Scholar to streamline academic discovery.

Download consensus ai，可在数秒内从科学论文中获取有证据支撑的答案。面向学生、临床工作者与好奇读者，Consensus 将复杂研究转化为清晰、带引用的洞察，是值得信赖的共识研究工具，助力更快文献综述与更明智决策。Download consensus ai to find evidence-backed answers from scientific papers in seconds. Built for students, clinicians, and curious readers, Consensus turns complex studies into clear insights with citations, making it a trusted consensus research tool for faster literature review and smarter decisions.

全球研究者的终极 AI 驱动发现平台。统一搜索 8+ 专业数据库（NCBI、arXiv、OpenAlex），结合 Llama 3.1 驱动的综合分析、RAG 问答与自动化文献综述。The ultimate AI-powered discovery hub for global researchers. Unified search across 8+ specialized portals (NCBI, arXiv, OpenAlex) with Llama 3.1-driven synthesis, RAG chat, and automated literature reviews.

综述论文 "From Representation Learning to Foundation Models" 的官方仓库。系统性地回顾了空间转录组学与病理学的多模态融合，提出三层分类法（嵌入、模型、知识层级）以及 2018 至 2026 年的演进路线图。Official repository for the survey "From Representation Learning to Foundation Models". A systematic review of multimodal fusion for Spatial Transcriptomics and Pathology, featuring a three-tier taxonomy (Embedding, Model, and Knowledge levels) and an evolutionary roadmap from 2018 to 2026.

面向文献综述与历史学期刊策略的合规本地优先 Codex Skills。Rights-safe local-first Codex Skills for literature review and history journal strategy.

可审计的按需学术文献综述引擎Auditable on-demand academic literature review engine

统一 9 种学术 API（PubMed、OpenAlex、arXiv、Semantic Scholar 等）的学术摘要获取器，以单一 Python 接口对外提供。Academic abstract fetcher unifying 9 scholarly APIs (PubMed, OpenAlex, arXiv, Semantic Scholar…) behind one Python interface